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Gui Yun Tian

Researcher at Newcastle University

Publications -  508
Citations -  14615

Gui Yun Tian is an academic researcher from Newcastle University. The author has contributed to research in topics: Nondestructive testing & Eddy current. The author has an hindex of 56, co-authored 489 publications receiving 11308 citations. Previous affiliations of Gui Yun Tian include University of East Anglia & University of Derby.

Papers
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Transient-spatial pattern mining of eddy current pulsed thermography using wavelet transform

TL;DR: In this article, an energy driven approach to compute the coefficient energy of wavelet transform is proposed which has the potential of automatically selecting both optimal transient frame and spatial scale for defect detection using ECPT.
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A Novel Distributed Linear-Spatial-Array Sensing System Based on Multichannel LPWAN for Large-Scale Blast Wave Monitoring

TL;DR: New insights are provided into how a sensing system integrating with LPWAN is designed in blast wave Monitoring for acquiring dynamic parameters accurately and carrying out remote network communication efficiently, and further opening a door for wireless sensor network (WSN) in more blast wave monitoring scenarios.
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Multi-Layer Magnetic Focusing Sensor Structure for Pulsed Remote Field Eddy Current

TL;DR: In this article, a novel multi-layer magnetic focusing sensor structure is proposed for pulsed remote field eddy current (PRFEC), which significantly enhances the detectability of the deeper depth of ferromagnetic material and provides detection capability without covering U-type component.
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A Web-Based Remote Cooperative Design for Spatial Cam Mechanisms

TL;DR: This paper presents an approach to component-based distributed cooperative design over the Internet where an extended multi-tier model (Browser/Server) is used to implement the web-based remote design system.
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IQ signal based RFID sensors for defect detection and characterisation

TL;DR: In this article, instead of using received signal strength indicator (RSSI), a method using features of transient responses from in-phase quadrature (IQ) signal to overcome the challenges of sensitivity and robustness in ultra-high frequency (UHF) RFID sensor systems.